修改--修改接口文档

doc/接口文档code.md

@@ -394,8 +394,9 @@ Response:
     "status_url": "/api/train/status/train_20230820_001"
 }
 ```
+### 2.5 获取MLFlow中保存的实验
 
-### 2.5 获取已经训练好的模型列表
+### 2.6 获取已经训练好的模型列表
 ```http
 GET /api/models/finished/{experiment_name}
 
@@ -404,36 +405,35 @@ Response:
     "status": "success",
     "models": [
         {
-            "model_id": "model_20250219_001",
-            "algorithm": "XGBClassifier",
-            "task_type": "classification",
-            "dataset": "breast_cancer",
-            "training_time": "2025-02-19T14:30:00",
-            "metrics": {
-                "accuracy": 0.95,
-                "precision": 0.94,
-                "recall": 0.93,
-                "f1": 0.94
-            },
-            "parameters": {
-                "n_estimators": 100,
-                "learning_rate": 0.1,
-                "max_depth": 6
-            },
-            "mlflow_run_id": "abc123def456",
-            "model_path": "models/model_20250219_001"
+            "run_id" 7970364d490f4e0aa0375c2db26215f3
+            'experiment_id' 656341556838275234
+            'algorithm': XGBClassifier
+            'task_type': classification
+            'dataset': /home/admin-root/haotian/MLPlatform/dataset/dataset_processed/breast_cancer_20250219_144629
+            'training_start_time': 2025-02-19 08:43:02.067000+00:00
+            'training_end_time': 2025-02-19 08:43:05.256000+00:00
+            'metrics':{
+                roc_auc: 0.9608
+                recall: 0.9610
+                f1: 0.9612
+                precision: 0.9618
+                accuracy: 0.9610
+            }
+        },
+        {
+          ...
         }
     ],
-    "total_count": 1,
+    "total_count": 2,
     "page": 1,
     "page_size": 10
 }
 
 ```
-### 2.6 删除指定的训练好的模型.
+### 2.7 删除指定的训练好的模型.
 
 
-### 2.7 获取训练状态
+### 2.8 获取训练状态
 ```http
 GET /api/train/status/{task_id}